Method and ultrasonic equipment for monitoring cardiac function parameters

Abstract

The present invention discloses a method and ultrasonic equipment for monitoring cardiac function parameters, wherein the monitoring method comprises: performing multiple ultrasonic measurements on a target heart, obtaining a first cardiac function parameter as a baseline parameter and multiple groups of second cardiac function parameters as follow-up parameters, generating a baseline graph according to the baseline parameters; generating a follow-up graph according to the multiple groups of second cardiac function parameters; displaying the above-mentioned baseline graph and follow-up graph to show changes in the cardiac function parameters during multiple ultrasonic measurements, thereby helping doctors to conveniently monitor and evaluate cardiac toxicity and meet the clinical needs of oncology cardiology.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic medical technology, and in particular to a method and ultrasonic equipment for monitoring cardiac function parameters. Background Art

[0002] With the continuous advancement of medical technology, the mortality rate of cancer patients is also decreasing year by year, and the survival time and quality of life of patients have been significantly improved. However, the treatment of tumors may cause damage to the cardiovascular system, such as cardiotoxicity during chemotherapy, which significantly affects the long-term morbidity and mortality of cancer patients. By monitoring the changes in the patient's cardiac function parameters, it can be determined whether the patient has cardiotoxicity.

[0003] Currently, oncology cardiology uses ultrasound cardiography to measure cardiac function parameters. Doctors can only judge cardiac toxicity by manually recording the measurement results and manually calculating the changes in cardiac function parameters, which is relatively inefficient. Summary of the invention

[0004] The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

[0005] The embodiment of the present invention provides a method for monitoring cardiac function parameters and an ultrasonic device, which can automatically display corresponding function buttons according to different carotid artery ultrasonic images to facilitate doctors to perform measurements and improve the doctors' work efficiency.

[0006] In a first aspect, an embodiment of the present invention provides a method for monitoring cardiac function parameters, comprising:

[0007] Acquiring a first myocardial motion parameter obtained by ultrasonically measuring the target heart;

[0008] After acquiring the first myocardial motion parameter, performing multiple ultrasonic measurements on the target heart to obtain multiple groups of second myocardial motion parameters;

[0009] generating a first reference image according to the first myocardial motion parameter, and generating a first follow-up image according to the multiple groups of second myocardial motion parameters;

[0010] The first baseline image and the first follow-up image are displayed to show changes in the plurality of sets of second myocardial motion parameters during the plurality of ultrasound measurements.

[0011] In a second aspect, an embodiment of the present invention provides an ultrasonic device, comprising

[0012] Ultrasound probe;

[0013] A transmitting / receiving circuit, wherein the transmitting / receiving circuit is used to control the ultrasonic probe to transmit ultrasonic waves to the ultrasonic detection object and receive ultrasonic echoes to obtain ultrasonic echo signals;

[0014] A processor, the processor is used to process the ultrasonic echo signal to obtain an ultrasonic image of the ultrasonic detection object;

[0015] a display, wherein the display is used to display the ultrasound image and / or a measurement result obtained based on the ultrasound image;

[0016] The processor is also used to execute the method for monitoring cardiac function parameters described in the first aspect above.

[0017] In a third aspect, an embodiment of the present invention provides a device for monitoring cardiac function parameters, comprising at least one processor and a memory for communicating with the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the monitoring method described in the first aspect.

[0018] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the monitoring method as described in the first aspect.

[0019] The method for monitoring cardiac function parameters provided by an embodiment of the present invention has at least the following beneficial effects: by performing multiple ultrasonic measurements on the target heart, a first myocardial motion parameter as a baseline parameter and multiple groups of second myocardial motion parameters as follow-up parameters are obtained, and then a baseline graph is generated based on the baseline parameters, and a follow-up graph representing the second myocardial motion parameters is generated. By displaying these baseline graphs and follow-up graphs, the changes in multiple groups of second myocardial motion parameters in multiple ultrasonic measurements can be clearly shown, thereby helping doctors to conveniently monitor and evaluate cardiac toxicity and meet the clinical needs of oncology cardiology.

[0020] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide further understanding of the technical solution of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0022] Figure 1 is a schematic diagram of the structure of an ultrasonic device provided by an embodiment of the present invention;

[0023] Figure 2is an overall flow chart of a method for monitoring cardiac function parameters provided by an embodiment of the present invention;

[0024] Figure 3 is a flow chart of generating a first reference image and a first follow-up image provided by an embodiment of the present invention;

[0025] Figure 4 A coordinate diagram showing a first reference line and a first trend curve provided by an embodiment of the present invention;

[0026] Figure 5 A coordinate graph showing a first baseline and a first follow-up histogram provided by an embodiment of the present invention;

[0027] Figure 6 is a flow chart of generating and displaying a first warning diagram provided by an embodiment of the present invention;

[0028] Figure 7 A coordinate diagram showing a first baseline, a first warning line and a first trend curve provided by an embodiment of the present invention;

[0029] Figure 8 is another overall flow chart of a method for monitoring cardiac function parameters provided by an embodiment of the present invention;

[0030] Fig. 9 is a flow chart of generating a second reference image and a second follow-up image provided by an embodiment of the present invention;

[0031] Fig.10 A coordinate diagram showing a second reference line and a second trend curve provided by an embodiment of the present invention

[0032] Fig.11 A coordinate diagram showing a second baseline and a second follow-up histogram provided by an embodiment of the present invention;

[0033] Fig.12 is a flow chart of generating and displaying a second warning line provided by an embodiment of the present invention;

[0034] Fig.13 A coordinate diagram showing a second baseline, a second warning line, a third warning line and a second trend curve provided by an embodiment of the present invention;

[0035] Fig.14 A coordinate diagram showing a first baseline, a first warning line, a first trend curve, a second baseline, a second warning line, a third warning line, and a second trend curve provided by an embodiment of the present invention;

[0036] Fig.15 A flowchart of generating a baseline bull's eye chart and a follow-up bull's eye chart provided by an embodiment of the present invention;

[0037] Fig.16 A reference bull's eye chart and a follow-up bull's eye chart in a direct comparison manner provided by an embodiment of the present invention;

[0038] Fig.17 is a flow chart of generating and displaying a baseline GLS and a follow-up GLS provided by an embodiment of the present invention;

[0039] Fig.18 A reference bull's eye chart and a follow-up bull's eye chart in an absolute difference comparison mode provided by an embodiment of the present invention;

[0040] Fig.19 A reference bull's eye chart and a follow-up bull's eye chart in a relative difference comparison mode provided by an embodiment of the present invention;

[0041] Fig. 20 is a flow chart for generating and displaying a baseline EF and a follow-up EF provided by an embodiment of the present invention;

[0042] Fig.21 is another overall flow chart of a method for monitoring cardiac function parameters provided by an embodiment of the present invention;

[0043] Fig. 22 is a graph showing a trend of changes in myocardial motion parameters provided by an embodiment of the present invention;

[0044] Fig.23 is a flow chart for identifying reference myocardial motion parameters provided by one embodiment of the present invention;

[0045] Fig.24 is a flow chart for indicating cardiac toxicity according to myocardial motion parameters provided by an embodiment of the present invention;

[0046] Fig.25 is another overall flow chart of a method for monitoring cardiac function parameters provided by an embodiment of the present invention;

[0047] Fig.26 is a graph showing a trend of changes in ejection fraction provided by an embodiment of the present invention;

[0048] Fig. 27 is a flow chart of identifying a baseline ejection fraction provided by an embodiment of the present invention;

[0049] Fig.28 is a flow chart for indicating cardiac toxicity according to ejection fraction provided by one embodiment of the present invention;

[0050] Fig.29 is a variation trend diagram of myocardial motion parameters and ejection fraction displayed in the same coordinate system provided by an embodiment of the present invention;

[0051] Fig.30is an architecture diagram of an ultrasonic cardiology intelligent analysis system provided by an embodiment of the present invention;

[0052] Fig.31 is a module diagram of an intelligent analysis unit provided by an embodiment of the present invention;

[0053] Fig.32 It is a structural connection diagram of a monitoring device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0055] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0056] It should be understood that in the description of the embodiments of the present application, the meaning of multiple (or multiple items) is more than two, greater than, less than, exceed, etc. are understood to not include the number, and above, below, within, etc. are understood to include the number.

[0057] With the continuous advancement of medical technology, cancer patients are treated through chemotherapy and other methods, which has reduced the mortality rate of cancer patients year by year. At the same time, other complications of cancer patients can be effectively controlled, and the survival time and quality of life of patients have been significantly improved. However, cancer treatment may cause damage to the cardiovascular system, which significantly affects the long-term morbidity and mortality of cancer patients. Based on this, the specialty of oncology cardiology came into being, aiming to improve the cardiovascular health of patients and promote effective cancer treatment.

[0058] At present, oncology cardiology can evaluate and monitor tumor-related cardiac toxicity through echocardiography. The patient's echocardiogram is obtained through ultrasound measurement, and then the cardiac function parameters corresponding to the echocardiogram are used to evaluate whether the heart is toxic. Generally speaking, a set of normal (Base) values ​​of cardiac function parameters are measured in the early stage of monitoring, and then a set of follow-up (Follow Up) values ​​of cardiac function parameters are measured each time the patient's heart is measured during the subsequent monitoring process. The doctor obtains the difference between the two sets of cardiac function parameters by manual calculation or by using calculation tools to determine whether the heart is toxic. In the above process, the doctor must manually record the cardiac function parameters and manually calculate and compare them each time the ultrasound measurement is performed, which is inefficient and cannot effectively observe the changing trend of the cardiac function parameters of the patient's heart during multiple ultrasound measurements. Therefore, it cannot meet the clinical needs of oncology cardiology well.

[0059] Based on this, an embodiment of the present invention proposes a method for monitoring cardiac function parameters and an ultrasonic device, which measures the cardiac function parameters of the target heart multiple times through ultrasound, and generates baseline graphs and follow-up graphs from multiple sets of cardiac function parameters. These baseline graphs and follow-up graphs are displayed to doctors, thereby showing the changes in cardiac function parameters in multiple ultrasonic measurements, providing doctors with a convenient way to judge cardiac toxicity and improving their work efficiency.

[0060] Figure 1 1 is a schematic diagram of a structural block diagram of a monitoring device for cardiac function parameters in an embodiment of the present invention. The monitoring device 1000 may include an ultrasound probe 1001, a transmitting circuit 1002, a transmitting / receiving selection switch 1003, a receiving circuit 1004, a beamforming circuit 1005, a processor 1006, a display 1007 and a memory 1008.

[0061] The ultrasonic probe 1001 includes a transducer (not shown in the figure) composed of a plurality of array elements arranged in an array. The plurality of array elements are arranged in a row to form a linear array, or arranged in a two-dimensional matrix to form a surface array. The plurality of array elements can also form a convex array. The array element is used to transmit an ultrasonic beam according to an excitation electrical signal, or to convert a received ultrasonic beam into an electrical signal. Therefore, each array element can be used to realize the mutual conversion between an electrical pulse signal and an ultrasonic beam, so as to transmit an ultrasonic wave to a target area of ​​human tissue (for example, the target heart in this embodiment), and can also be used to receive the echo of the ultrasonic wave reflected back by the tissue. When performing ultrasonic detection, the transmit / receive selection switch 1003 can be used to control which array elements are used to transmit an ultrasonic beam and which array elements are used to receive an ultrasonic beam, or control the array elements to transmit an ultrasonic beam or receive the echo of an ultrasonic beam in a time slot. The array elements participating in ultrasonic emission can be excited by electrical signals at the same time, thereby transmitting ultrasonic waves at the same time; or the array elements participating in ultrasonic emission can also be excited by several electrical signals with a certain time interval, thereby continuously transmitting ultrasonic waves with a certain time interval.

[0062] The transmitting circuit 1002 is used to generate a transmission sequence according to the control of the processor 1006. The transmission sequence is used to control some or all of the multiple array elements to transmit ultrasonic waves to biological tissues. The transmission sequence parameters include the array element position, the number of array elements and the ultrasonic beam transmission parameters (such as amplitude, frequency, number of transmissions, transmission interval, transmission angle, waveform, focus position, etc.) used for transmission. In some cases, the transmitting circuit 1002 is also used to phase delay the transmitted beam so that different transmitting array elements transmit ultrasonic waves at different times so that each transmitted ultrasonic beam can be focused on a predetermined area of ​​interest. Different working modes, such as B image mode, C image mode and D image mode (Doppler mode), may have different transmission sequence parameters. After the echo signal is received by the receiving circuit 1004 and processed by subsequent modules and corresponding algorithms, a B image reflecting the anatomical structure of the tissue, a C image reflecting the anatomical structure of the tissue and blood flow information, and a D image reflecting the Doppler spectrum image can be generated.

[0063] The receiving circuit 1004 is used to receive the electrical signal of the ultrasonic echo from the ultrasonic probe 1001 and process the electrical signal of the ultrasonic echo. The receiving circuit 1004 may include one or more amplifiers, analog-to-digital converters (ADCs), etc. The amplifier is used to amplify the electrical signal of the received ultrasonic echo after appropriate gain compensation, and the analog-to-digital converter is used to sample the analog echo signal at a predetermined time interval, thereby converting it into a digitized signal, and the digitized echo signal still retains amplitude information, frequency information, and phase information. The data output by the receiving circuit 1004 can be output to the beamforming circuit 1005 for processing, or output to the memory 1008 for storage.

[0064] The beamforming circuit 1005 is connected to the receiving circuit 1004 signal, and is used to perform corresponding beamforming processing such as delay and weighted summation on the signal output by the receiving circuit 1004. Since the distances from the ultrasonic receiving point in the measured tissue to the receiving array element are different, the channel data of the same receiving point output by different receiving array elements have delay differences, and delay processing is required to align the phases and perform weighted summation on the different channel data of the same receiving point to obtain the ultrasonic image data after beamforming. The ultrasonic image data output by the beamforming circuit 1005 is also called radio frequency data (RF data). The beamforming circuit 1005 outputs the radio frequency data to the IQ demodulation circuit. In some embodiments, the beamforming circuit 1005 can also output the radio frequency data to the memory 1008 for caching or storage, or directly output the radio frequency data to the image processing module of the processor 1006 for image processing.

[0065] The beamforming circuit 1005 may perform the above functions in the form of hardware, firmware or software. For example, the beamforming circuit 104 may include a central controller circuit (CPU), one or more microprocessor chips or any other electronic components capable of processing input data according to specific logic instructions. When the beamforming circuit 1005 is implemented in software, it may execute instructions stored on a tangible and non-transitory computer-readable medium (e.g., memory 1008) to perform beamforming calculations using any appropriate beamforming method.

[0066] The processor 1006 is configured to be a central controller circuit (CPU), one or more microprocessors, a graphics controller circuit (GPU) or any other electronic component that can process input data according to specific logical instructions. It can control peripheral electronic components according to input instructions or predetermined instructions, or read and / or save data from the memory 1008. It can also process the input data by executing the program in the memory 1008, for example, performing one or more processing operations on the collected ultrasound data according to one or more working modes. The processing operations include but are not limited to adjusting or limiting the form of ultrasound waves emitted by the ultrasound probe 1001, generating various image frames for display on the display 1007 of the subsequent human-computer interaction device, or adjusting or limiting the content and form displayed on the display 1007, or adjusting one or more image display settings displayed on the display 1007 (such as ultrasound images, interface components, and positioning areas of interest).

[0067] The image processing module of the processor 1006 is used to process the data output by the beamforming circuit 1005 or the data output by the IQ demodulation circuit to generate a grayscale image of the signal strength change within the scanning range, which reflects the anatomical structure inside the tissue, called a B image. The image processing module can output the B image to the display 1007 of the human-computer interaction device for display.

[0068] The human-computer interaction device is used for human-computer interaction, that is, receiving user input and outputting visual information; it can receive user input using a keyboard, operation buttons, mouse, trackball, etc., or a touch screen integrated with a display; it outputs visual information using display 1007.

[0069] The memory 1008 may be a tangible and non-transitory computer-readable medium, such as a flash memory card, a solid-state memory, a hard disk, etc., for storing data or programs. For example, the memory 1008 may be used to store acquired ultrasound data or image frames generated by the processor 1006 that are not immediately displayed, or the memory 1008 may store a graphical user interface, one or more default image display settings, or programming instructions for a processor, a beamforming circuit, or an IQ demodulation circuit.

[0070] It should be noted that Figure 1 The structure is only for illustration and may also include Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown. Figure 1 Each component shown in the figure may be implemented by hardware and / or software.

[0071] based on Figure 2 The monitoring device shown in the figure, the monitoring method of cardiac function parameters is as follows Figure 2 As shown, the specific steps may include but are not limited to the following steps S100, S200, S300 and S400.

[0072] Step S100, obtaining a first myocardial motion parameter obtained by ultrasonically measuring the target heart;

[0073] Step S200, after obtaining the first myocardial motion parameter, performing multiple ultrasonic measurements on the target heart to obtain multiple groups of second myocardial motion parameters;

[0074] Step S300, generating a first reference image according to the first myocardial motion parameter, and generating a first follow-up image according to multiple groups of second myocardial motion parameters;

[0075] Step S400 , displaying a first reference graph and a first follow-up graph to illustrate changes in multiple groups of second myocardial motion parameters in multiple ultrasound measurements.

[0076] By ultrasonically measuring the target heart with ultrasound technology, cardiac function parameters related to the target heart can be obtained. For example, the ultrasound device is set to perform ultrasound scanning in grayscale imaging mode to obtain an ultrasound image of the target heart, and the cardiac function parameters related to the target heart can be obtained by analyzing the ultrasound image. Grayscale imaging mode is a two-dimensional ultrasound imaging mode that displays the intensity of the ultrasound echo signal by the size of the brightness. Due to the different uniformity of the internal structure of the human body, the ultrasound echo is different, thereby presenting the structural situation of the tissue. For another example, based on the contrast image obtained by cardiac acoustic contrast technology, cardiac acoustic contrast technology uses ultrasound contrast agents to enhance the scattering of ultrasound waves in the gas-liquid plane to achieve the purpose of enhancing the echo signal intensity. Therefore, based on the rebound intensity of the contrast agent in the tissue, the perfusion parameters can be obtained, thereby analyzing the cardiac function parameters corresponding to the contrast image. In addition to the above-mentioned grayscale imaging and ultrasound contrast imaging, tissue Doppler imaging, color Doppler ultrasound imaging, etc. can also be used to obtain the ultrasound image of the target heart, which will not be given one by one here.

[0077] According to different imaging modes, cardiac function parameters of the target heart are obtained in different ways. In general, cardiac toxicity can be determined by two indicators: myocardial motion parameters (such as global longitudinal strain (GLS)) and / or ejection fraction (EF) of the target heart. According to the British Society for Echocardiography and British Cardio-Oncology Society guideline for transthoracic cardiographic assessment of adult cancer patients receiving anthracyclines and / or trastuzumab), when EF decreases by more than 10% of the baseline value and EF is less than 50%, or GLS (especially the GLS value of the left ventricle) decreases by more than 15% of the baseline value, subclinical myocardial toxicity may occur. Therefore, it is particularly important to obtain GLS and EF through ultrasound image analysis. For example, based on the ultrasound image obtained in grayscale imaging mode, speckle tracking technology can be used to obtain myocardial motion parameters of multiple myocardial segments of the heart. Speckle tracking technology tracks the position of the same ultrasonic speckle in a grayscale ultrasound image, thereby determining the position change of the corresponding myocardial tissue. Ultrasonic speckles are spots formed by scattering, reflection, interference and other phenomena produced by fine structures in myocardial tissue that are smaller than the length of the incident ultrasonic wave. When the movement displacement and deformation of the tissue are small, it can be approximately considered that the speckle pattern of the tissue remains fixed. Therefore, the movement tracking and quantitative measurement of the specific tissue can be achieved by tracking the movement of the specific spot in the grayscale imaging ultrasound image. The speckle tracking technology can be used to accurately and quantitatively analyze the movement of various parts of the heart. By tracking the ultrasonic spots at different locations of the heart (endocardium, epicardium, myocardium), the movement of the tissue structure corresponding to the ultrasonic spots can be obtained, such as ventricular wall motion velocity, ventricular wall displacement, ventricular wall strain, etc. This information can be used to quantitatively analyze the physiological characteristics of the heart tissue. The ejection fraction is the ratio of the stroke volume to the end-diastolic volume of the ventricle, which is a volume-related parameter. Taking the left ventricle as an example, the measurement method is to first use cardiac ultrasound technology to measure the left ventricular volume (LVV), including the end-diastolic volume and the end-systolic volume, and then calculate the ejection fraction according to the definition of the ejection fraction. As for the ultrasonic image analysis of other imaging methods, the cardiac function parameters can be analyzed according to the corresponding imaging features, which will not be elaborated here.

[0078] According to the above ultrasound imaging mode and cardiac function parameter analysis method, each time the target heart is ultrasonically measured, a set of cardiac function parameters can be obtained to represent the cardiac function of the target heart during this ultrasound measurement. When judging cardiac toxicity by cardiac function parameters, GLS and / or EF are often used. Therefore, in the embodiment of the present invention, the cardiac function parameters may include any one of GLS and EF, or include GLS and EF at the same time. It can be understood that an ultrasound measurement involved in the embodiment of the present invention refers to a complete ultrasound scanning process of the target heart. Then, an ultrasound scanning process may include ultrasound scanning of multiple different sections of the target heart. For example, in order to obtain a bull's eye diagram representing the conditions of different myocardial segments of the target heart, it is necessary to perform an ultrasound scan on three different sections of the target heart respectively. Based on the results of these three ultrasound scans, the conditions of multiple myocardial segments are obtained, and finally a complete bull's eye diagram is obtained. The process of obtaining the complete bull's eye diagram can be regarded as an ultrasound measurement. Since the cardiac function parameters of the heart usually do not change rapidly, the results obtained from each ultrasound measurement represent the cardiac function parameters of the target heart within a period of time before and after this ultrasound measurement.

[0079] In the embodiment where the cardiac function parameter includes GLS, multiple sets of myocardial motion parameters can be obtained by performing multiple ultrasonic measurements on the target heart. In order to obtain the baseline parameter and the follow-up parameter, the first set of myocardial motion parameters in the multiple ultrasonic measurements are selected as the baseline parameter, and the myocardial motion parameters of other groups after the baseline parameter are used as the follow-up parameter. By comparing the follow-up parameter with the baseline parameter, it can be determined whether the target heart is toxic. It can be understood that the first myocardial motion parameter as the baseline parameter can be obtained by ultrasonic measurement before the diagnosis and treatment of the target heart, or it can be obtained by the first ultrasonic measurement of multiple ultrasonic measurements of the target heart during the diagnosis and treatment. For example, before the patient undergoes diagnosis and treatment, an ultrasonic measurement is first performed, and the myocardial motion parameters obtained by this ultrasonic measurement are used as the baseline parameters. Subsequently, the patient undergoes multiple ultrasonic measurements during the diagnosis and treatment process to obtain multiple sets of second myocardial motion parameters, and these second myocardial motion parameters are used as follow-up parameters; for another example, the patient undergoes multiple ultrasonic measurements during the diagnosis and treatment process to obtain multiple sets of myocardial motion parameters, and the first set of myocardial motion parameters in these myocardial motion parameters is selected as the baseline parameter, and the myocardial motion parameters of the remaining groups are used as follow-up parameters.

[0080] Based on the myocardial motion parameters obtained by the above measurements, the first myocardial motion parameter is used to generate a first reference graph, and each group of second myocardial motion parameters is used to generate a first follow-up graph. In order to facilitate doctors to observe changes in the patient's myocardial motion parameters, the embodiment of the present invention displays the first reference graph and the first follow-up graph. Doctors can easily know the changes in myocardial motion parameters during multiple ultrasonic measurements through the first reference graph and the first follow-up graph, thereby determining whether the heart is toxic.

[0081] It is worth noting that in the embodiment of the present invention, the first reference graph and the first follow-up graph can be in the same form, or in different forms that are easy to compare; for example, if the first reference graph is in the form of a line graph, then the first follow-up graph is also a line graph; for another example, if the first reference graph is represented in the form of a bull's eye graph, then the first follow-up graph is also represented in the form of a bull's eye graph; for another example, if the first reference graph is a line graph, then the first follow-up graph is a bar graph; in some possible cases, the first reference graph includes multiple elements, for example, the first reference graph includes a line graph + text of a certain indicator, then the first follow-up graph also includes a line graph of the same form + text of the indicator. In short, after the graphic form of the first reference graph is set as needed, the first follow-up graph is generated in the same form, or in a similar form, so that the doctor can directly know the changes in myocardial motion parameters in ultrasound measurement based on the displayed first reference graph and first follow-up graph.

[0082] The above-mentioned first reference graph and first follow-up graph are generated, and these graphs can be displayed through corresponding display devices. For example, on the display screen of the ultrasound device, the first reference graph and the first follow-up graph are displayed side by side, or the first reference graph and the first follow-up graph are superimposed, etc. When the doctor performs ultrasound measurement, he can directly call the myocardial motion parameters of the historical ultrasound measurement during this diagnosis and treatment process, and directly see the changes in the myocardial motion parameters of the clinical patient on the display screen. It can be understood that the first reference graph and the first follow-up graph can be displayed at the same time or separately. When displayed at the same time, the first reference graph and the first follow-up graph can be integrated and displayed in the same area to show the changes in the myocardial motion parameters. The display mode of the first reference graph and the first follow-up graph can be set according to actual needs. The generation and display of the above-mentioned first reference graph and the first follow-up graph will be explained through several specific embodiments below.

[0083] In one embodiment, the first reference graph is a line graph or a bar graph, and the first follow-up graph is a line graph or a bar graph. Figure 3 :

[0084] Generating the first reference image in the above step S300 includes:

[0085] Step S310 , determining a reference GLS according to a first myocardial motion parameter, and generating a first reference line or a first reference histogram according to the reference GLS.

[0086] Generating the first follow-up graph in the above step S300 includes:

[0087] Step S320, determining a follow-up GLS corresponding to each group of second myocardial motion parameters according to the multiple groups of second myocardial motion parameters, and generating a first trend curve or a first follow-up histogram according to the sequence of ultrasound measurements and the multiple follow-up GLS.

[0088] like Figure 4 As shown, according to the method of generating the line graph, the first myocardial motion parameter can generate a first baseline in the form of a straight line, and for multiple groups of second myocardial motion parameters, a first trend curve in the form of a trend curve can be generated. It is understandable that each group of myocardial motion parameters may include multiple parameter values, such as multiple longitudinal strain parameters, and each longitudinal strain parameter can generate a corresponding trend curve. However, in order to enable each group of myocardial motion parameters to form a line that is convenient for doctors to judge cardiac toxicity, in an embodiment of the present invention, in accordance with the above-mentioned ultrasonic cardiac assessment guidelines, each group of myocardial motion parameters is calculated to obtain a GLS value, so that a first baseline can be generated based on the baseline GLS value, and a first trend curve can be generated based on multiple groups of follow-up GLS, so that doctors can compare the baseline GLS and the follow-up GLS to judge cardiac toxicity. As shown in FIG. Figure 5 As shown, under the premise that the first myocardial motion parameter generates a first baseline in a straight line style, multiple sets of second myocardial motion parameters can generate follow-up bar graphs in the form of bar graphs, Figure 5 The top of each column in the graph represents the value of the current set of second myocardial motion parameters. Doctors can easily judge cardiac toxicity by comparing the first baseline with the tops of these columns. Figure 4 and Figure 5 It can also be in the form of a baseline GLS value generating a baseline bar graph, a follow-up GLS generating a trend curve, or both the baseline GLS and the follow-up GLS are bar graphs, etc., which are not listed here one by one.

[0089] It is understandable that the first reference image and the first follow-up image can be displayed in their respective coordinate systems or in the same coordinate system. When displayed in the same coordinate system, a coordinate system is constructed for the reference GLS and the follow-up GLS, and the first reference image and the first follow-up image are generated in the coordinate system according to the values ​​of the reference GLS and the follow-up GLS, so that the doctor can directly compare the first reference image and the first follow-up image.

[0090] According to the above guidelines for echocardiography assessment, when GLS drops by 15% of the baseline value, it is considered that the heart may be toxic. In order to further facilitate doctors to judge whether the heart is toxic, when displaying the first baseline graph and the first follow-up graph in the same coordinate system, a warning line can be added to indicate whether the GLS drops by more than a certain amount. Specifically, refer to Figure 6 , also includes:

[0091] Step S410, generating a first warning map according to the reference GLS, wherein the ratio of the GLS corresponding to the first warning map to the reference GLS is a positive number less than 1;

[0092] Step S420: displaying the first reference graph, the first warning graph, and the first follow-up graph in the same coordinate system.

[0093] The first warning graph can be in the form of a line graph or a bar graph; taking the line graph as an example, the first warning graph is equivalent to the first warning line, such as Figure 7 As shown, the first warning line (at Figure 7 The warning value corresponding to the first warning line (indicated by warning line in the figure) is related to the baseline GLS. For example, the value of the baseline GLS reduced by 15% is used as the warning value to generate the first warning line. When the first warning line and the first trend curve are displayed in the same coordinate system, when there is a part of the first trend curve that is lower than the first warning line, indicating that the follow-up GLS decreases by more than 15% of the baseline value, a cardiotoxicity prompt information can be generated, so that the doctor can clearly know the patient's diagnosis and treatment. It is understandable that when the first baseline and the first warning line are both straight lines, different identifiers can be set for the first baseline and the first warning line to facilitate the doctor to distinguish between the two straight lines. For example, the first baseline and the first warning line are displayed in different colors, and for another example, the first baseline and the first warning line are displayed in different thicknesses, or corresponding text or color identifiers are marked near the first baseline and the first warning line, etc.; as long as the first baseline and the first warning line can be distinguished, the available methods are not exemplified one by one here.

[0094] The above-mentioned cardiac toxicity prompt information can be in various forms; combined with the coordinate system diagram, the cardiac toxicity prompt information can be a highlighted mark generated in the coordinate system (such as highlighting the intersection of the first warning line and the first trend curve), or the corresponding text can be displayed on the display screen (such as the percentage of the current myocardial motion parameter below the baseline value), or it can be a reminder issued by an ultrasound device (such as voice broadcast, light prompt, etc.), which are not listed here one by one.

[0095] The above examples are only examples in which the first baseline image, the first warning image and the first follow-up image all use line graphs. As mentioned above, the first baseline image, the first warning image and the first follow-up image may use other forms such as bar graphs in addition to line graphs, or a mixture of multiple forms such as line graphs and bar graphs. Similarly, by comparing the first warning image with the first follow-up image, the changes in the GLS of the target heart in multiple ultrasound measurements can be conveniently shown.

[0096] According to the aforementioned guidelines for echocardiography assessment, in addition to judging cardiotoxicity by changes in GLS values, cardiotoxicity can also be judged by ejection fraction FE. In order to conveniently show the doctor the changes in the ejection fraction of the target heart in multiple ultrasound measurements, refer to Figure 8 The monitoring method of the embodiment of the present invention further includes the following steps:

[0097] Step S500, obtaining a first ejection fraction obtained by ultrasonically measuring the target heart;

[0098] Step S600, after obtaining the first ejection fraction, performing multiple ultrasonic measurements on the target heart to obtain multiple sets of second ejection fractions;

[0099] Step S700, generating a second reference graph according to the first ejection fraction, and generating a second follow-up graph according to multiple groups of second ejection fractions;

[0100] Step S800 , displaying a second baseline graph and a second follow-up graph to show changes in multiple groups of second ejection fractions during multiple ultrasound measurements.

[0101] In this embodiment, the first ejection fraction is used to generate the second reference graph, and each set of second ejection fractions is used to generate the second follow-up graph. In order to facilitate doctors to observe changes in the patient's ejection fraction, the embodiment of the present invention displays the second reference graph and the second follow-up graph. Doctors can easily know the changes in the ejection fraction during multiple ultrasound measurements through the second reference graph and the second follow-up graph, thereby determining whether the heart is toxic.

[0102] Similarly, the second reference graph and the second follow-up graph can be in the same form, or in different forms that are easy to compare; for example, if the second reference graph is in the form of a line graph, then the second follow-up graph is also a line graph, and for another example, if the second reference graph is a line graph, then the second follow-up graph is a bar graph; in some possible cases, the second reference graph includes multiple elements, for example, the second reference graph includes a line graph + text of a certain indicator, then the second follow-up graph also includes a line graph of the same form + text of the indicator. In short, after the graph form of the second reference graph is set as needed, the second follow-up graph is generated in the same form, or in a similar form, so that the doctor can directly know the changes in the ejection fraction in the ultrasound measurement based on the displayed second reference graph and second follow-up graph.

[0103] In one embodiment, the second reference graph is a line graph or a bar graph, and the second follow-up graph is a line graph or a bar graph. Fig. 9 :

[0104] Generating the second reference image in the above step S700 includes:

[0105] Step S710: determining a reference EF according to the first ejection fraction, and generating a second reference line or a second reference bar graph according to the reference EF.

[0106] Generating the second follow-up graph in the above step S700 includes:

[0107] Step S720, determining a follow-up EF corresponding to each group of second ejection fractions according to the multiple groups of second ejection fractions, and generating a second trend curve or a second follow-up histogram according to the sequence of ultrasound measurements and the multiple follow-up EFs.

[0108] In this embodiment, the first ejection fraction generates a second baseline in a straight line style, and multiple groups of second ejection fractions generate a second trend curve in a trend curve style. Based on the comparison between the second baseline and the second follow-up curve, the doctor can easily determine whether toxicity occurs in the target heart.

[0109] It is understandable that the second reference image and the second follow-up image can be displayed in their own coordinate systems or in the same coordinate system. Fig.10 , when displayed in the same coordinate system, a coordinate system is constructed for the baseline EF and the follow-up EF, and a second baseline image and a second follow-up image are generated in the coordinate system according to the values ​​of the baseline EF and the follow-up EF, so that the doctor can directly compare the second baseline image and the second follow-up image.

[0110] Of course, the second baseline graph and the second follow-up graph can also be in the form of bar graphs, such as Fig.11 As shown, under the premise that the first ejection fraction generates a second baseline in a straight line format, multiple sets of second ejection fractions can generate follow-up bar graphs in the form of bar graphs. Fig.11 The top of each column in the graph represents the value of the second ejection fraction of the current group. Doctors can also easily judge cardiac toxicity by comparing the second baseline with the top of these columns. Fig.10 and Fig.11 It can also be in the form of a baseline EF value generating a baseline bar graph, a follow-up EF generating a trend curve, or both the baseline EF and the follow-up EF are bar graphs, etc., which are not listed here one by one.

[0111] According to the above guidelines for echocardiography assessment, when EF drops by 10% of the baseline value and EF is less than 50%, it is considered that the heart may be toxic. In order to further facilitate doctors to judge whether the heart is toxic, when displaying the second baseline graph and the second follow-up graph in the same coordinate system, a warning line can be added to indicate whether the EF has dropped by more than a certain amount. Specifically, refer to Fig.12 , also includes:

[0112] Step S810, generating a second warning graph according to the reference EF, wherein the ratio of the EF corresponding to the second warning graph to the reference EF is a positive number less than 1;

[0113] Step S820: displaying the second reference graph, the second warning graph, and the second follow-up graph in the same coordinate system.

[0114] The second warning graph can be in the form of a line graph or a bar graph; taking the line graph as an example, the second warning graph is equivalent to the second warning line, such as Fig.13 As shown, judging cardiac toxicity by EF involves two warning values ​​(hereinafter indicated as warning value a and warning value b), and the second warning line (at Fig.13 The warning value a corresponding to the reference EF is related to the reference EF. Therefore, the value of the reference EF reduced by 10% can be used as the warning value a to generate the second warning line. On the other hand, the warning value b is 50%, and the ordinate 50% in the coordinate system (the ordinate is the EF value, the abscissa is the time / measurement order) is at the point where the third warning line is generated (at Fig.13(indicated by warning line b). When the second warning line, the third warning line and the second trend curve are displayed in the same coordinate system, when there is a part in the second trend curve that is lower than the second warning line and lower than the third warning line, indicating that the follow-up EF decreases by more than 10% of the baseline value and the follow-up EF is lower than 50%, a cardiotoxicity prompt information can be generated, so that the doctor can clearly know the patient's diagnosis and treatment. It can be understood that the second baseline, the second warning line and the third warning line are all straight lines, and different identifiers can be set for the second baseline, the second warning line and the third warning line to facilitate doctors to distinguish these three straight lines. For example, the second baseline, the second warning line and the third warning line are displayed in different colors. For example, the second baseline, the second warning line and the third warning line are displayed in different thicknesses, or corresponding text or color identifiers are marked near the second baseline, the second warning line and the third warning line respectively; as long as the second baseline, the second warning line and the third warning line can be distinguished, the available methods are not given examples one by one here. It is understandable that the third warning line mentioned above is not necessary. For example, in this coordinate system, the coordinate system background is preset with dotted lines corresponding to certain vertical coordinate values ​​(for example, 10 dotted lines are set according to 10%, 20%, 30%,..., 90%, and 100%, and 50% is one of the dotted lines). In this case, only the second warning line needs to be generated, and the doctor can also easily determine whether the heart is toxic based on the dotted lines on the coordinate system background.

[0115] The above examples are only examples in which the second baseline graph, the second warning graph, and the second follow-up graph all use line graphs. As mentioned above, the second baseline graph, the second warning graph, and the second follow-up graph may use other forms such as bar graphs in addition to line graphs, or a mixture of multiple forms such as line graphs and bar graphs. Similarly, by comparing the second warning graph with the second follow-up graph, it is possible to conveniently show changes in the EF of the target heart in multiple ultrasound measurements.

[0116] The above-mentioned cardiac toxicity prompt information can be in various forms; combined with the coordinate system diagram, the cardiac toxicity prompt information can be a highlighted mark generated in the coordinate system (such as highlighting the intersection of the second warning line and the second trend curve), or the corresponding text can be displayed on the display screen (such as the percentage of the current ejection fraction below the baseline value), or it can be a reminder issued by an ultrasound device (such as voice broadcast, light prompt, etc.), which are not listed here one by one.

[0117] It is worth noting that since the units of GLS and EF are both percentages, in a possible embodiment, the first reference graph, the first trend curve, the second reference graph and the second trend curve may be displayed in the same coordinate system, such as Fig.14As shown, the first warning line, the second warning line and the third warning line can also be placed in the same coordinate system, so that the doctor can directly judge the changes in the patient's GLS and EF and quickly understand whether the patient's heart is toxic. In this embodiment, when the cardiac toxicity prompt information is generated, it can be processed in the manner of the above embodiment, and will not be repeated here.

[0118] In another embodiment, the first reference graph and the first follow-up graph are bull's eye graphs. Fig.15 :

[0119] Generating the first reference image in the above step S300 includes:

[0120] Step S330 , generating a reference bull's eye diagram according to the correspondence between a plurality of myocardial segment motion parameters and segment regions in the first myocardial motion parameter.

[0121] Generating the first follow-up graph in the above step S300 includes:

[0122] Step S340, generating a follow-up bull's eye diagram according to the correspondence between the multiple myocardial segment motion parameters and the segment areas in the second myocardial motion parameters, each follow-up bull's eye diagram corresponding to a group of second myocardial motion parameters.

[0123] Among them, the myocardial motion parameters include multiple myocardial segment motion parameters, each of which corresponds to one of the myocardial segments of the target heart, and the bull's eye diagram includes multiple segment areas, each of which is used to represent the size of the corresponding myocardial segment motion parameter.

[0124] The bull's eye chart is also called the bull's eye chart. It is often used to represent the myocardial function of different myocardial segments of the heart. There are many different methods for dividing the segment areas in the bull's eye chart, including the 16-segment model, the 17-segment model, the 20-segment model, etc. Take the 17-segment model as an example. Fig.16As shown, the bull's eye diagram divides the myocardium into 17 segments, represented by four concentric rings, each of which corresponds to a left ventricular short axis plane. The outermost ring corresponds to the basal segment at the level of the mitral valve, and contains 6 segment areas, which respectively represent the anterior wall basal segment, the anterior septal basal segment, the lower septal basal segment, the lower wall basal segment, the lower lateral wall basal segment and the anterior septal basal segment; the second ring corresponds to the middle segment, which contains 6 segment areas, which respectively represent the anterior wall middle segment, the anterior septal middle segment, the lower septal middle segment, the lower wall middle segment, the lower lateral wall middle segment and the anterior septal middle segment; the third ring corresponds to the apical segment, which contains 4 segment areas, which respectively represent the anterior wall apical segment, the septal apical segment, the lower wall apical segment and the lateral wall apical segment. A separate central ring is also provided at the center of the bull's eye diagram to represent the apical cap. Each of the above segment areas is used to represent the myocardial segment motion parameters of the corresponding myocardial segment. Exemplarily, in the bull's eye diagram segment model, different colors, grayscales, textures, etc. can be used to represent the size of the myocardial function parameters.

[0125] The myocardial motion parameters obtained by ultrasound measurement include multiple myocardial segment motion parameters, so these myocardial segment motion parameters can be mapped into the bull's eye diagram. Fig.16 As shown, a reference bull's eye diagram is generated according to multiple myocardial segment motion parameters in the first myocardial motion parameter, and a follow-up bull's eye diagram is generated according to multiple myocardial segment motion parameters in the second myocardial motion parameter. The reference bull's eye diagram and the follow-up bull's eye diagram are displayed simultaneously, and the doctor can compare the reference bull's eye diagram and the follow-up bull's eye diagram to determine the specific situation of the myocardial segment of the target heart. It can be understood that a follow-up bull's eye diagram is generated by multiple myocardial segment motion parameters in each group of second myocardial motion parameters, so multiple groups of second myocardial motion parameters correspond to multiple follow-up bull's eye diagrams. When displayed, the reference bull's eye diagram and at least one follow-up bull's eye diagram can be displayed. For example, when displaying a reference bull's eye diagram and a follow-up bull's eye diagram, the reference bull's eye diagram and the follow-up bull's eye diagram are displayed side by side. For example, when displaying a reference bull's eye diagram and more than two follow-up bull's eye diagrams, the reference bull's eye diagram and these follow-up bull's eye diagrams are arranged horizontally, and these follow-up bull's eye diagrams are arranged in the order of ultrasound measurement, etc., and examples are not given one by one here, and the arrangement of the reference bull's eye diagram and the follow-up bull's eye diagram can be set according to actual needs.

[0126] Each segment area on the bull's eye chart can display the size of the corresponding myocardial segment motion parameter in different ways. For example, the value of the myocardial segment motion parameter is displayed in the segment area, or the size of the myocardial segment motion parameter is indicated in different colors in the segment area, etc., as follows:

[0127] In one embodiment, each segment area in the follow-up bull's eye diagram is used to display the measured value of the corresponding myocardial segment motion parameter and / or the color corresponding to the measured value.

[0128] Reference Fig.16 , a 17-segment model bull's eye chart is used, showing a baseline bull's eye chart and a follow-up bull's eye chart, wherein each segment area in the baseline bull's eye chart is marked with a measured value of one of the first myocardial motion parameters, and each segment area in the follow-up bull's eye chart is marked with a measured value of one of the second myocardial motion parameters, and at the same time, the segment area is filled with a corresponding color, and the size of the measured value of the myocardial segment motion parameter is indicated by the different colors (not shown in Fig.16 The segment area is filled with color) and a legend of the correspondence between color and value is displayed next to the bull's eye chart.

[0129] Comparison between the baseline bull's eye chart and the follow-up bull's eye chart can only show the changes in the second myocardial motion parameters corresponding to the follow-up bull's eye chart relative to the first myocardial motion parameters, and each segment area cannot reflect the changes in GLS. Fig.17 In order to facilitate the doctor to quickly grasp the GLS value corresponding to the current follow-up bull's eye chart, the embodiment of the present invention further includes, based on the display of the reference bull's eye chart and the follow-up bull's eye chart in step S400:

[0130] Step S430, obtaining a reference GLS of the target heart according to the first myocardial motion parameter;

[0131] Step S440, obtaining a follow-up GLS of the target heart according to the second myocardial motion parameter corresponding to the follow-up bull's eye diagram;

[0132] Step S450, displaying a first character string for indicating a reference GLS size and a second character string for indicating a follow-up GLS size, and making the display position of the first character string correspond to the position of the reference bull's eye chart, and making the display position of the second character string correspond to the position of the follow-up bull's eye chart.

[0133] A baseline GLS is calculated based on the first myocardial motion parameter, and the baseline GLS is displayed next to the baseline bull's eye chart (for example, displayed below the baseline bull's eye chart). A follow-up GLS is calculated based on the second myocardial motion parameter, and the follow-up GLS is displayed next to the corresponding follow-up bull's eye chart (for example, displayed below the follow-up bull's eye chart). While the doctor observes the bull's eye chart to understand the specific measurement values ​​of each myocardial segment of the target heart, he can determine the change of the current follow-up GLS relative to the baseline GLS through the first character string representing the size of the baseline GLS and the second character string representing the size of the follow-up GLS. It is understandable that the first character string and the second character string can be used in different ways, for example, referring to Fig.16 , the first character string is "GLS: -20%", the second character string is "GLS: -12%", for another example, fill in the first character string "-20%" and the second character string "-12%" in the preset table, and so on, which are not listed here one by one.

[0134] The segment area of ​​the follow-up bull's eye chart in this embodiment is used to display the measurement value and / or the color corresponding to the measurement value. Therefore, the value of the follow-up GLS is also a value directly calculated through the second myocardial motion parameter. For example, the segment area in the follow-up bull's eye chart is used to display the measurement value of the left ventricular longitudinal strain. Then, through the measurement values ​​of all the segment areas in the follow-up bull's eye chart, the value of the overall longitudinal strain of the left ventricle, that is, the value of the follow-up GLS, can be calculated.

[0135] It is worth noting that the way in which the segment areas of the baseline bull's eye chart represent myocardial segment motion parameters may be different from the way in which the segment areas of the follow-up bull's eye chart represent myocardial segment motion parameters. In one embodiment, each segment area in the follow-up bull's eye chart is used to display the change amplitude and / or the color corresponding to the change amplitude of the measured value of the corresponding myocardial segment motion parameter relative to the measured value of the myocardial segment motion parameter corresponding to the same segment area in the baseline bull's eye chart.

[0136] This embodiment uses a difference comparison method to display the follow-up bull's eye chart. Compared with the direct comparison in the previous embodiment (i.e., the segment area of ​​the follow-up bull's eye chart directly displays the measured value, thereby comparing it with the measured value of the same segment area in the reference bull's eye chart), the segment area of ​​the follow-up bull's eye chart in this embodiment displays the change amplitude of the measured value and / or the color corresponding to the change amplitude. Specifically, two difference comparison methods can be used:

[0137] Reference Fig.18 , the segment area of ​​the follow-up bull's eye chart displays the absolute difference and / or the color corresponding to the absolute difference. At this time, the myocardial segment motion parameters corresponding to each segment area of ​​the follow-up bull's eye chart are subtracted from the myocardial segment motion parameters corresponding to the same segment area of ​​the baseline bull's eye chart, and the obtained absolute difference is filled in the segment area of ​​the follow-up bull's eye chart or the segment area of ​​the follow-up bull's eye chart is filled with the color corresponding to the absolute difference (not in Fig.18 For any segment area, the absolute difference can be calculated using the following formula:

[0138] abs_diff=follow up parameter-baseline parameter (1)

[0139] In formula (1), follow up parameter represents the measured value of the myocardial segment motion parameter corresponding to one of the segment areas in the follow-up bull's eye diagram, baseline parameter represents the measured value of the myocardial segment motion parameter corresponding to the same segment area in the baseline bull's eye diagram, and abs_diff represents the absolute difference.

[0140] Reference Fig.19, the segment area of ​​the follow-up bull's eye chart displays the relative difference and / or the color corresponding to the relative difference. At this time, the myocardial segment motion parameters corresponding to each segment area of ​​the follow-up bull's eye chart are subtracted from the myocardial segment motion parameters corresponding to the same segment area of ​​the baseline bull's eye chart, and the result is divided by the myocardial segment motion parameters corresponding to the same segment area of ​​the baseline bull's eye chart. The relative difference is filled in the segment area of ​​the follow-up bull's eye chart or the segment area of ​​the follow-up bull's eye chart is filled with the color corresponding to the relative difference (not in Fig.19 For any segment area, the relative difference can be calculated by the following formula:

[0141] rel_diff=(follow up parameter-baseline parameter) / baseline parameter (2)

[0142] In formula (2), follow up parameter represents the measured value of the myocardial segment motion parameter corresponding to one of the segment areas in the follow-up bull's eye diagram, baseline parameter represents the measured value of the myocardial segment motion parameter corresponding to the same segment area in the baseline bull's eye diagram, and rel_diff represents the relative difference.

[0143] Similarly, in this embodiment, the comparison between the baseline bull's eye chart and the follow-up bull's eye chart can only show the change of the second myocardial motion parameter corresponding to the follow-up bull's eye chart relative to the first myocardial motion parameter, and each segment area cannot reflect the change of GLS. Therefore, this embodiment can refer to the above steps S430 to S450 to add a first character string representing the size of the baseline GLS and a second character string representing the size of the follow-up GLS to the baseline bull's eye chart and the follow-up bull's eye chart. It is worth noting that in this embodiment, the segment area of ​​the follow-up bull's eye chart adopts difference comparison, so the size of the follow-up GLS should also be adjusted to absolute difference representation or relative difference representation, that is, the second character string displays the change amplitude value of the follow-up GLS relative to the baseline GLS; for example, refer to Fig.18 , using absolute difference comparison, the first string is "GLS: -20%", the second string is "GLS: ↓8%", the arrow indicates the decrease relative to the benchmark GLS, and for example, refer to Fig.19 , using relative difference comparison, the first string is "GLS: -20%", the second string is "GLS: ↓40%", and the arrow indicates the decrease relative to the benchmark GLS.

[0144] In addition to displaying the first character string and the second character string in the above manner, a cardiac toxicity warning message can also be generated when the magnitude of the decrease in the follow-up GLS relative to the baseline GLS exceeds the first preset magnitude. According to the guidelines for echocardiography assessment, if the GLS decreases by 15% of the baseline value, the heart may be toxic, so the first preset magnitude can be set to 15% with reference to the guidelines for echocardiography assessment. Of course, in actual application, it is possible to consider setting a third preset magnitude, which is set by the doctor based on experience and the patient's condition. The third preset magnitude can be less than the first preset magnitude or greater than the first preset magnitude, and is used to indicate a preliminary warning or severe decrease in GLS, respectively.

[0145] Based on the above embodiment of displaying the bull's eye chart, in order to provide doctors with more complete cardiac toxicity judgment information, according to the ultrasound cardiology assessment guide, information related to ejection fraction can be displayed on the basis of displaying the bull's eye chart. Fig. 20 , the monitoring method of the present invention further comprises:

[0146] Step S910, obtaining a first ejection fraction obtained by performing ultrasonic measurement on the target heart;

[0147] Step S920, after obtaining the first ejection fraction, performing multiple ultrasonic measurements on the target heart to obtain multiple sets of second ejection fractions;

[0148] Step S930, determining a reference EF according to the first ejection fraction;

[0149] Step S940, obtaining the follow-up EF of the target heart according to the second ejection fraction corresponding to the follow-up bull's eye chart;

[0150] Step S950, displaying a third character string for indicating a reference EF size and a fourth character string for indicating a follow-up EF size, and making the display position of the third character string correspond to the position of the reference bull's eye chart, and making the display position of the fourth character string correspond to the display position of the follow-up bull's eye chart.

[0151] The baseline EF value is calculated by the first ejection fraction, the follow-up EF value is calculated by the second ejection fraction, and then the EF value is displayed by means of the third character string and the fourth character string. For example, when the baseline bull's eye chart and the follow-up bull's eye chart are displayed by direct comparison, the third character string is "EF = 55%", and the fourth character string is "EF = 37%" (e.g. Fig.16 As shown), when the reference bull's eye chart and the follow-up bull's eye chart are displayed by absolute difference comparison, the third character string is "EF = 55%", and the fourth character string is "EF = ↓ 60%" (as shown in FIG. Fig.18As shown), when the reference bull's eye chart and the follow-up bull's eye chart are displayed by relative difference comparison, the third character string is "EF = 55%", and the fourth character string is "EF = ↓33%" (as shown in FIG. Fig.19 shown).

[0152] It can be seen that the display mode of the EF value changes with the display mode of the segment area of ​​the follow-up bull's eye chart. In some embodiments, the first character string, the second character string, the third character string and the fourth character string can be displayed simultaneously next to the bull's eye chart, that is, the baseline GLE and the baseline FE are displayed next to the baseline bull's eye chart, and the follow-up GLS and the follow-up EF are displayed next to the follow-up bull's eye chart. It can be understood that the position arrangement of the first character string, the third character string and the baseline bull's eye chart can be set as needed, for example, the first character string and the third character string are placed below the baseline bull's eye chart, etc., and the second character string, the fourth character string and the follow-up bull's eye chart can be displayed with reference to the same position arrangement, which will not be exemplified one by one here.

[0153] Similarly, in addition to displaying the third and fourth character strings in the above manner, a cardiac toxicity prompt message can also be generated when the magnitude of the decrease in the follow-up EF relative to the baseline EF exceeds the second preset magnitude and the follow-up EF is less than the preset EF value. According to the guidelines for echocardiography assessment, if the EF decreases by 10% of the baseline value and the EF is less than 50%, the heart may be toxic, so the second preset magnitude can be set to 10% and the preset EF value can be set to 50% with reference to the guidelines for echocardiography assessment, thereby generating corresponding cardiac toxicity prompt messages based on these two thresholds.

[0154] It is understandable that the cardiotoxicity prompt information is generated according to the change of the GLS value, or the cardiotoxicity prompt information is generated according to the change of the EF value. In order to clearly display the cardiotoxicity prompt information, the GLS value and the EF value may be provided with a highlighted downward arrow (see Fig.16 , 18 Of course, in addition to displaying a highlighted downward arrow on the display screen, other cardiotoxicity prompting methods may be used, for example, at least one of a sound prompt (such as a voice announcement, a beep), a light prompt (a red light that is always on, a flashing indicator light), and a vibration prompt, which are not limited here.

[0155] In summary, by performing multiple ultrasonic measurements on the target heart, a first cardiac function parameter as a baseline parameter and multiple groups of second cardiac function parameters as follow-up parameters are obtained, and then a baseline graph is generated based on the baseline parameters, and a follow-up graph representing the second cardiac function parameter is generated in the form of the baseline graph. By displaying the same form of the baseline graph and the follow-up graph, the changes in the cardiac function parameters in multiple ultrasonic measurements can be clearly shown, thereby helping doctors to conveniently monitor and evaluate cardiac toxicity and meet the clinical needs of oncology cardiology.

[0156] Reference Fig.21 As shown, the method for monitoring cardiac function parameters of the present invention also has another embodiment, including but not limited to the following steps:

[0157] Step S10, transmitting ultrasound to the target heart, receiving the echo of the ultrasound returned by the target heart, and obtaining an ultrasound echo signal;

[0158] Step S11, obtaining an ultrasonic image of the target heart and current myocardial motion parameters obtained by current ultrasonic measurement according to the ultrasonic echo signal;

[0159] Step S12, obtaining historical myocardial motion parameters obtained by performing at least one ultrasonic measurement on the target heart before the current ultrasonic measurement;

[0160] Step S13, generating a change trend graph of the myocardial motion parameters according to the historical myocardial motion parameters and the current myocardial motion parameters;

[0161] Step S14, displaying the ultrasonic image of the target heart and the trend diagram of the change of the myocardial motion parameters.

[0162] Reference Fig. 22 , when an ultrasonic measurement is performed on the target heart, the myocardial motion parameters obtained by the current ultrasonic measurement and the historical myocardial motion parameters obtained by at least one ultrasonic measurement before the current ultrasonic measurement are obtained, and the historical myocardial motion parameters and the current myocardial motion parameters are organized into a change trend graph for display. In the process of diagnosing and treating patients, in order to facilitate the detection of changes in the myocardial motion parameters of the patient's heart, the doctor can judge whether the patient's heart is toxic from the change trend graph according to the changes in the myocardial motion parameters through steps S10 to S14 of this embodiment. It can be understood that the change trend graph of the myocardial motion parameters can be represented by a line graph, a bar graph, etc., or it can be represented by a combination of multiple methods such as line graphs, bar graphs, etc. For details, please refer to the description of the first follow-up graph in the aforementioned embodiment.

[0163] In an embodiment of the present invention, multiple historical myocardial motion parameters obtained from multiple ultrasonic measurements before the current ultrasonic measurement can be called. For example, during the diagnosis and treatment process, an ultrasonic measurement is performed on the target heart each time the patient takes medication after chemotherapy. Assuming that the doctor has currently completed the fifth ultrasonic measurement of the target heart and obtained the current myocardial motion parameters obtained by the fifth ultrasonic measurement, four sets of historical myocardial motion parameters obtained from the first four ultrasonic measurements of the target heart during this diagnosis and treatment process can be called, and a change trend graph can be generated based on these five sets of myocardial motion parameters.

[0164] It is worth noting that the trend diagram of the change of the myocardial motion parameters obtained through steps S10 to S14 does not show the reference mark for reference. In order to facilitate the doctor to judge the change amplitude of the myocardial motion parameters of the target heart, the reference mark is used as a reference. Fig.23 , this embodiment also includes the following steps:

[0165] Step S15, determining the historical myocardial motion parameters obtained by the first ultrasonic measurement from the historical myocardial motion parameters as the reference myocardial motion parameters, and indicating the reference myocardial motion parameters by marking in the myocardial motion parameter change trend diagram.

[0166] As in the previous example, based on the generation of a change trend graph based on five groups of myocardial motion parameters, the first group of myocardial motion parameters is used as the baseline myocardial motion parameters, and a corresponding identifier is generated in the change trend graph. The identifier can be the first baseline as in the aforementioned embodiment, or it can be the difference between each group of myocardial motion parameters marked on the corresponding change trend graph and the baseline myocardial motion parameters, etc., which are not listed one by one here.

[0167] It is understandable that the myocardial motion parameters obtained in the ultrasound measurement may specifically include at least one of the ventricular global longitudinal strain, the ventricular global radial strain and the ventricular global circumferential strain. The above strain parameters may be determined in the actual ultrasound measurement in the following manner: the strain includes the peak strain of one cardiac cycle or the mean value of the peak strain of at least one cardiac cycle.

[0168] Similarly, in addition to displaying the above-mentioned trend graph of the change of myocardial motion parameters, corresponding prompts can also be generated according to the magnitude of the myocardial motion parameters relative to the warning value. Fig.24 , the monitoring method of this embodiment also includes:

[0169] Step S16, when the corresponding myocardial motion parameter in the myocardial motion parameter variation trend diagram is lower than the warning value, cardiac toxicity prompt information is generated.

[0170] The warning value can be calculated based on the baseline myocardial motion parameters. When the myocardial motion parameters are lower than the warning value, the doctor can be informed through cardiac toxicity prompt information. The cardiac toxicity prompt information can be a highlighted mark generated in the myocardial motion parameter change trend chart, or it can be displayed text, or it can be a reminder issued by an ultrasound device, etc.

[0171] In addition to displaying the trend graph of the myocardial motion parameter through steps S10 to S14, a trend graph of the ejection fraction of the target heart can also be displayed. Specifically, refer to Fig.25 , including the following steps:

[0172] Step S20, obtaining the current ejection fraction obtained by the current ultrasound measurement according to the ultrasound echo signal;

[0173] Step S21, obtaining a historical ejection fraction obtained by performing at least one ultrasonic measurement on the target heart before the current ultrasonic measurement;

[0174] Step S22, generating a trend graph of ejection fraction changes according to the historical ejection fraction and the current ejection fraction;

[0175] Step S23, displaying a graph showing the trend of ejection fraction changes.

[0176] Reference Fig.26 In the process of ultrasonic measurement of the target heart, in addition to obtaining myocardial motion parameters, the ejection fraction can also be obtained. The change in the ejection fraction can also be used to determine whether the target heart is toxic. According to the above steps S20 to S23, it can be known that multiple historical ejection fractions obtained by multiple ultrasonic measurements before the current ultrasonic measurement can be called. For example, during the diagnosis and treatment process, the target heart is ultrasonically measured each time the patient takes medication after chemotherapy. Assuming that the doctor has currently completed the fifth ultrasonic measurement of the target heart and obtained the current ejection fraction obtained by the fifth ultrasonic measurement, the four groups of historical ejection fractions obtained by the first four ultrasonic measurements of the target heart during this diagnosis and treatment process can be called, and a change trend graph can be generated based on these five groups of ejection fractions.

[0177] In order to facilitate doctors to judge the change in the ejection fraction of the target heart, refer to Fig. 27 , this embodiment also includes the following steps:

[0178] Step S24, determining the historical ejection fraction obtained by the first ultrasound measurement from the historical ejection fraction as the baseline ejection fraction, and indicating the baseline ejection fraction by marking in the ejection fraction change trend graph.

[0179] As in the previous example, on the basis of generating a change trend graph according to five groups of ejection fractions, the first group of ejection fractions is used as the baseline ejection fraction, and a corresponding mark is generated in the change trend graph. The mark can be the first baseline as in the aforementioned embodiment, or the difference between each group of ejection fractions marked on the corresponding change trend graph and the baseline ejection fraction, etc., which are not listed here one by one.

[0180] Similarly, in addition to displaying the above ejection fraction change trend graph, corresponding prompts can also be generated according to the ejection fraction relative to the warning value. Fig.28 , the monitoring method of this embodiment also includes:

[0181] Step S25: When the ejection fraction corresponding to the ejection fraction variation trend graph is lower than the warning value, cardiac toxicity prompt information is generated.

[0182] The warning value can be calculated based on the baseline ejection fraction. When the ejection fraction is lower than the warning value, the doctor can be informed through cardiac toxicity prompt information. The cardiac toxicity prompt information can be a highlighted mark generated in the ejection fraction change trend chart, or it can be displayed text, or it can be a reminder issued by an ultrasound device, etc.

[0183] It is worth noting that, since the units of myocardial motion parameters and ejection fraction are both percentages, in a possible embodiment, the trend graph of myocardial motion parameters and the trend graph of ejection fraction can be displayed in the same coordinate system, such as Fig.29 As shown, it is convenient for doctors to directly judge the changes in the myocardial motion parameters and ejection fraction of the target heart and quickly understand whether the patient's heart is toxic. In this embodiment, when the cardiac toxicity prompt information is generated, it can be processed in the manner of the above embodiment, and will not be repeated here.

[0184] To apply the above cardiac function parameter monitoring method, a typical ultrasonic cardiology intelligent analysis system can refer to the following: Fig.30 As shown, the ultrasound image 103 can be acquired by the image acquisition module 101 or read from the storage medium 102. The image acquisition module 101 may include a transmitting module to transmit ultrasound through an ultrasound probe, and a receiving module to receive echo signals. The received echo signals are processed by a beamforming module and other signal processing links to obtain the ultrasound image 103. The changes in cardiac function are monitored and analyzed by the intelligent analysis unit 104. Then the user can interact by operating the control unit 105, and finally the final result is displayed on the display 106.

[0185] like Fig.31As shown, the intelligent analysis unit 104 includes a quantitative parameter calculation module 201, a trend analysis and automatic threshold monitoring module 202, and a bull's eye comparison module 203. The quantitative parameter calculation module 201 is responsible for calculating cardiac function parameters, including ejection fraction and myocardial motion parameters, such as velocity, displacement, strain, strain rate, etc. The calculation of cardiac function parameters can automatically achieve left ventricular segmentation based on artificial intelligence segmentation networks such as U-net, and then combine speckle tracking technology to obtain myocardial motion and deformation of each frame, and then obtain local myocardial motion parameters of each myocardial segment and the motion parameters of the left ventricle as a whole. Cardiac function parameters include baseline parameters and follow-up parameters during diagnosis and treatment. The trend analysis and automatic threshold monitoring module 202 analyzes whether the target heart is toxic by comparing the baseline parameters and follow-up parameters. At the same time, the threshold for the occurrence of toxicity can also be calculated based on the baseline parameters.

[0186] The analysis interface of the system includes the current analysis results, which are displayed in the form of trend curves and bull's eye charts. In the form of trend curves, the baseline corresponding to the baseline parameters and the trend curve of the subsequent follow-up parameters are recorded, as well as the early warning threshold calculated based on the baseline. The trend curve can intuitively indicate whether the target heart is toxic and the changes in cardiac function. The bull's eye chart is an important tool for displaying overall and local cardiac function. It can not only display the overall situation of cardiac function, but also highlight the site of lesions. Cardiac toxicity monitoring requires monitoring changes in cardiac function, not just parameter values. The comparison bull's eye chart module 203 uses a bull's eye chart to intuitively display changes in cardiac function to assist in cardiac toxicity monitoring. In the analysis interface, based on the differences between follow-up parameters and baseline parameters, cardiac toxicity analysis can be performed, and if possible cardiac toxicity occurs, a prompt will be given.

[0187] The embodiment of the present invention further provides a device for monitoring cardiac function parameters, comprising:

[0188] Ultrasound probe;

[0189] The transmitting / receiving circuit is used to control the ultrasonic probe to transmit ultrasonic waves to the ultrasonic detection object and receive ultrasonic echoes to obtain ultrasonic echo signals;

[0190] A processor, the processor is used to process the ultrasonic echo signal to obtain an ultrasonic image of the ultrasonic inspection object;

[0191] A display, the display being used to display the ultrasound image and / or the measurement results obtained based on the ultrasound image;

[0192] The processor is also used to execute the above-mentioned method for monitoring cardiac function parameters.

[0193] An embodiment of the present invention also provides a device for monitoring cardiac function parameters, comprising at least one processor and a memory for communicating with the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the aforementioned method for monitoring cardiac function parameters.

[0194] Reference Fig.32 , taking the control processor 2001 and memory 2002 in the monitoring device 2000 as an example that can be connected via a bus. The memory 2002, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory 2002 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk memory, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 2002 may optionally include a memory remotely arranged relative to the control processor 2001, and these remote memories may be connected to the monitoring device 2000 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0195] Those skilled in the art will understand that Fig.32 The device structure shown in the figure does not constitute a limitation on the monitoring device 2000, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0196] The embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are executed by one or more control processors, for example, Fig.32 The one or more control processors 2001 in the embodiment of the present invention may execute the monitoring device method in the above method embodiment, for example, executing the above described Figure 2 Steps S100 to S400 of the method, Figure 3 Step S310 and step S320 of the method, Figure 6 Steps S410 to S420 of the method, Figure 8 Step S500 and step S800 of the method, Fig. 9 Steps S710 to S720 of the method, Fig.12 Step S810 and step S820 of the method, Fig.15 Steps S330 to S340 of the method, Fig.17 Steps S440 to S450 of the method and Fig. 20 Method steps S910 to S930.

[0197] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0198] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0199] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0200] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.

[0201] It should also be understood that the various implementations provided in the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

[0202] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above implementation mode. Technical personnel familiar with the field can also make various equivalent modifications or substitutions under the shared conditions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A method for monitoring cardiac function parameters, characterized in that: include: Acquiring a first myocardial motion parameter obtained by ultrasonically measuring the target heart; After acquiring the first myocardial motion parameter, performing multiple ultrasonic measurements on the target heart to obtain multiple groups of second myocardial motion parameters; generating a first reference image according to the first myocardial motion parameter, and generating a first follow-up image according to the multiple groups of second myocardial motion parameters; displaying the first baseline image and the first follow-up image to show changes of the plurality of groups of second myocardial motion parameters during the plurality of ultrasound measurements; Wherein, the myocardial motion parameter includes a plurality of myocardial segment motion parameters, each of which corresponds to one of the myocardial segments of the target heart; the magnitude of each of the myocardial segment motion parameters is represented by a segment area in a bull's eye diagram; The step of generating a first reference image according to the first myocardial motion parameter comprises: generating a reference bull's eye diagram according to the correspondence between a plurality of myocardial segment motion parameters and segment areas in the first myocardial motion parameter, and displaying a first character string for indicating the magnitude of the first myocardial motion parameter; Generating a first follow-up map according to the multiple groups of second myocardial motion parameters includes: A follow-up bull's eye plot is generated based on the correspondence between multiple myocardial segment motion parameters and segment areas in the second myocardial motion parameters, each of the follow-up bull's eye plots corresponds to a group of the second myocardial motion parameters, and a second character string for indicating the size of the second myocardial motion parameter is displayed. When the second myocardial motion parameter decreases relative to the first myocardial motion parameter, a prompt indicating that the second myocardial motion parameter has decreased relative to the first myocardial motion parameter is displayed.

2. The method for monitoring cardiac function parameters according to claim 1, characterized in that: The first reference graph is a line graph or a bar graph, and the first follow-up graph is a line graph or a bar graph; The step of generating a first reference image according to the first myocardial motion parameter comprises: determining a reference global longitudinal strain according to the first myocardial motion parameter, and generating a first reference line or a first reference bar graph according to the reference global longitudinal strain; Generating a first follow-up map according to the multiple groups of second myocardial motion parameters includes: The follow-up overall longitudinal strain corresponding to each group of the second myocardial motion parameters is determined according to the multiple groups of second myocardial motion parameters, and a first trend curve or a first follow-up histogram is generated according to the sequence of the ultrasound measurements and the multiple follow-up overall longitudinal strains.

3. The method for monitoring cardiac function parameters according to claim 2, characterized in that: The displaying of the first reference image and the first follow-up image comprises: The first reference image and the first follow-up image are displayed in the same coordinate system.

4. The method for monitoring cardiac function parameters according to claim 3, characterized in that: The displaying the first reference image and the first follow-up image in the same coordinate system comprises: generating a first warning map according to the reference overall longitudinal strain, wherein the ratio of the overall longitudinal strain corresponding to the first warning map to the reference overall longitudinal strain is a positive number less than 1; The first reference image, the first warning image, and the first follow-up image are displayed in the same coordinate system.

5. The method for monitoring cardiac function parameters according to claim 4, characterized in that: The displaying of the first reference image and the first follow-up image further includes: When the first follow-up graph has a portion of the overall longitudinal strain that is lower than that corresponding to the first warning graph, cardiac toxicity prompt information is generated.

6. The method for monitoring cardiac function parameters according to claim 1, characterized in that: The monitoring method further comprises: Acquire a first ejection fraction obtained by ultrasonically measuring the target heart; After acquiring the first ejection fraction, performing multiple ultrasonic measurements on the target heart to obtain multiple sets of second ejection fractions; generating a second reference map according to the first ejection fraction, and generating a second follow-up map according to the multiple groups of second ejection fractions; The second baseline graph and the second follow-up graph are displayed to show changes in the plurality of sets of second ejection fractions during the plurality of ultrasound measurements.

7. The method for monitoring cardiac function parameters according to claim 6, characterized in that: The second reference graph is a line graph or a bar graph, and the second follow-up graph is a line graph or a bar graph; The step of generating a second reference map according to the first ejection fraction comprises: determining a reference ejection fraction according to the first ejection fraction, and generating a second reference line or a second reference bar graph according to the reference ejection fraction; Generating a second follow-up graph according to the multiple groups of second ejection fractions comprises: A follow-up ejection fraction corresponding to each group of the second ejection fractions is determined according to the multiple groups of second ejection fractions, and a second trend curve or a second follow-up histogram is generated according to the sequence of the ultrasound measurements and the multiple follow-up ejection fractions.

8. The method for monitoring cardiac function parameters according to claim 7, characterized in that: The displaying of the second baseline image and the second follow-up image comprises: The second baseline image and the second follow-up image are displayed in the same coordinate system.

9. The method for monitoring cardiac function parameters according to claim 8, characterized in that: Also includes: generating a second early warning graph according to the benchmark ejection fraction, wherein the ratio of the ejection fraction corresponding to the second early warning graph to the benchmark ejection fraction is a positive number less than 1; The second reference image, the second warning image, and the second follow-up image are displayed in the same coordinate system.

10. The method for monitoring cardiac function parameters according to claim 9, characterized in that: The displaying of the second reference image and the second follow-up image further includes: When the second trend curve has a portion that is lower than the second warning graph and smaller than a preset ejection fraction value, cardiac toxicity prompt information is generated.

11. The method for monitoring cardiac function parameters according to claim 1, characterized in that: The displaying of the first reference image and the first follow-up image comprises: The baseline bullseye plot and at least one of the follow-up bullseye plots are displayed.

12. The method for monitoring cardiac function parameters according to claim 1, characterized in that: Each segment area in the follow-up bull's eye diagram is used to display the measurement value of the corresponding myocardial segment motion parameter and / or the color corresponding to the measurement value.

13. The method for monitoring cardiac function parameters according to claim 12, characterized in that: The displaying of the first reference image and the first follow-up image comprises: Obtaining a reference global longitudinal strain of the target heart according to the first myocardial motion parameter; Obtaining a follow-up overall longitudinal strain of the target heart according to the second myocardial motion parameter corresponding to the follow-up bull's eye diagram; A first character string representing the baseline overall longitudinal strain magnitude and a second character string representing the follow-up overall longitudinal strain magnitude are displayed, and the display position of the first character string corresponds to the position of the baseline bull's eye chart, and the display position of the second character string corresponds to the position of the follow-up bull's eye chart.

14. The method for monitoring cardiac function parameters according to claim 13, characterized in that: The second character string displays the numerical value of the follow-up global longitudinal strain.

15. The method for monitoring cardiac function parameters according to claim 1, characterized in that: Each segment area in the follow-up bull's eye diagram is used to display the change amplitude of the measured value of the corresponding myocardial segment motion parameter relative to the measured value of the myocardial segment motion parameter corresponding to the same segment area in the reference bull's eye diagram and / or the color corresponding to the change amplitude.

16. The method for monitoring cardiac function parameters according to claim 15, characterized in that: The variation range is an absolute difference or a relative difference.

17. The method for monitoring cardiac function parameters according to claim 15, characterized in that: The displaying of the first reference image and the first follow-up image comprises: Obtaining a reference global longitudinal strain of the target heart according to the first myocardial motion parameter; Obtaining a follow-up overall longitudinal strain of the target heart according to the second myocardial motion parameter corresponding to the follow-up bull's eye diagram; A first character string representing the baseline overall longitudinal strain magnitude and a second character string representing the follow-up overall longitudinal strain magnitude are displayed, and the display position of the first character string corresponds to the position of the baseline bull's eye chart, and the display position of the second character string corresponds to the position of the follow-up bull's eye chart.

18. The method for monitoring cardiac function parameters according to claim 17, characterized in that: The second character string displays the change amplitude value of the follow-up global longitudinal strain relative to the baseline global longitudinal strain.

19. The method for monitoring cardiac function parameters according to claim 13, 14, 17 or 18, characterized in that: The displaying of the first reference image and the first follow-up image further includes: When the decrease in the follow-up overall longitudinal strain relative to the baseline overall longitudinal strain exceeds a first preset range, cardiac toxicity prompt information is generated.

20. The method for monitoring cardiac function parameters according to any one of claims 11 to 18, characterized in that: The monitoring method further comprises: Acquire a first ejection fraction obtained by ultrasonically measuring the target heart; After acquiring the first ejection fraction, performing multiple ultrasonic measurements on the target heart to obtain multiple sets of second ejection fractions; determining a baseline ejection fraction according to the first ejection fraction; Obtaining a follow-up ejection fraction of the target heart according to the second ejection fraction corresponding to the follow-up bull's eye plot; A third character string for indicating the size of the baseline ejection fraction and a fourth character string for indicating the size of the follow-up ejection fraction are displayed, and a display position of the third character string corresponds to a position of the baseline bull's eye chart, and a display position of the fourth character string corresponds to a position of the follow-up bull's eye chart.

21. The method for monitoring cardiac function parameters according to claim 20, characterized in that: Also includes: When the magnitude of the decrease of the follow-up ejection fraction relative to the baseline ejection fraction exceeds a second preset magnitude and the follow-up ejection fraction is less than a preset ejection fraction value, cardiac toxicity prompt information is generated.

22. The method for monitoring cardiac function parameters according to claim 19 or 21, characterized in that: The cardiotoxicity prompt information includes at least one of a downward arrow highlighted on a display screen, a sound prompt, a light prompt, and a vibration prompt.

23. An ultrasonic device, characterized in that: include: Ultrasound probe; a transmitting / receiving circuit, the transmitting / receiving circuit being used to control the ultrasonic probe to transmit ultrasonic waves to the target heart and receive ultrasonic echoes to obtain ultrasonic echo signals; A processor, the processor is used to process the ultrasonic echo signal to obtain an ultrasonic image of the target heart; a display, wherein the display is used to display the ultrasound image and / or a measurement result obtained based on the ultrasound image; The processor is also used to execute the cardiac function parameter monitoring method described in any one of claims 1 to 22.

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